Bayesian Methods
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models
Recent Advances in Learning Sparse Structured Input/Output Model: Models, Algorithms, and Applications
Introduction to Machine Learning
Introduction to Graphical Models for Data Mining
Stacks of Restricted Boltzmann Machines
Structured Prediction for Natural Language Processing
Information Theory
Introduction to Graphical Models
Deep Learning